Introduction
Welcome to Caspia. We are committed to protecting your privacy and ensuring the security of your personal information. As a leading provider of grant writing and digital solutions, we handle client data with the utmost care and in strict compliance with privacy laws.
Collection of Information
What we collect:
- Personal identification information (e.g., name, email address, phone number)
- Payment details (e.g., credit card information, billing address)
- Service history and preferences
- Interaction data through our website and services
How we use your information:
- To process and fulfil your service requests
- To provide customer support and respond to your inquiries
- To improve our services and offerings
- To inform you about promotions, new services, and updates
Data Confidentiality and Security
Caspia employs state-of-the-art security measures to protect the data we collect. These measures include advanced encryption protocols, secure server configurations, and strict access controls to ensure that your personal information remains secure from unauthorized access and breaches.
Data Retention
We retain personal data only as long as necessary to fulfil the purposes for which it was collected. This retention period may extend beyond the termination of your relationship with us but only as long as legally required or necessary to defend our legal rights.
Your Rights
Under the GDPR and UK Data Protection Act, you have several rights, including:
- The right to access the personal data we hold about you
- The right to request the correction of any inaccuracies in your data
- The right to request deletion of your data when it is no longer necessary for the purposes collected
- The right to withdraw consent at any time, where consent is the legal basis for processing your data
Changes to Our Privacy Policy
Caspia reserves the right to modify this Privacy Policy at any time. All updates will be posted on this page, and we encourage you to review our policy periodically to stay informed about how we are protecting your information.
Contact Us
If you have any questions or concerns regarding this Privacy Policy or our data handling practices, please contact us at:
Caspia
Email: info@caspia.co.uk
Customer Services Email: support@caspia.co.uk
Postal Address:
Caspia
Enterprise House
Newtown Road
London-Luton, LU1 3EA
United Kingdom
Your privacy is our priority, and we are dedicated to ensuring that your data is handled with the utmost care and respect.
Inbox Data Insights (IDI)
Turn email chaos into intelligence. Analyze, visualize, and secure massive volumes of inbox data with Inbox Data Insights (IDI) by Caspia.
Data Security
Safeguard your data with our four-stage supervision and assessment framework, ensuring robust, compliant, and ethical security practices for resilient organizational trust and protection.
Data and Machine Learning
Harness the power of data and machine learning with our four-stage supervision and assessment framework, delivering precise, ethical, and scalable AI solutions for transformative organizational impact.
AI Data Workshops
Empower your team with hands-on AI data skills through our four-stage workshop framework, ensuring practical, scalable, and ethical AI solutions for organizational success.
Data Engineering
Architect and optimize robust data platforms with our four-stage supervision and assessment framework, ensuring scalable, secure, and efficient data ecosystems for organizational success.
Data Visualization
Harness the power of visualization charts to transform complex datasets into actionable insights, enabling evidence-based decision-making across diverse organizational contexts.
Insights and Analytics
Transform complex data into actionable insights with advanced analytics, fostering evidence-based strategies for sustainable organizational success.
Data Strategy
Elevate your organization’s potential with our AI-enhanced data advisory services, delivering tailored strategies for sustainable success.
Central Limit Theorem
The Central Limit Theorem makes sample averages bell-shaped, powering reliable predictions.
Lena
Statistician
Neural Network Surge
Neural networks, with billions of connections, drive AI feats like real-time translation.
Eleane
AI Researcher
Vector Spaces
Vector spaces fuel AI algorithms, enabling data transformations for machine learning.
Edmond
Mathematician
Zettabyte Era
A zettabyte of data—10^21 bytes—flows yearly, shaping AI and analytics globally.
Sophia
Data Scientist
NumPy Speed
NumPy crunches millions of numbers in milliseconds, a backbone of data science coding.
Kam
Programmer
Decision Trees
Decision trees split data to predict outcomes, simplifying choices in AI models.
Jasmine
Data Analyst
ChatGPT Impact
ChatGPT’s 2022 debut redefined AI, answering queries with human-like fluency.
Jamie
AI Engineer
ANOVA Insights
ANOVA compares multiple groups at once, revealing patterns in data experiments.
Julia
Statistician
Snowflake Scale
Snowflake handles petabytes of cloud data, speeding up analytics for millions.
Felix
Data Engineer
BERT’s Language Leap
BERT understands context in text, revolutionizing AI search and chat since 2018.
Mia
AI Researcher
Probability Theory
Probability theory quantifies uncertainty, guiding AI decisions in chaotic systems.
Paul
Mathematician
K-Means Clustering
K-Means groups data into clusters, uncovering hidden trends in markets and more.
Emilia
Data Scientist
TensorFlow Reach
TensorFlow builds AI models for millions, from startups to global tech giants.
Danny
Programmer
Power BI Visuals
Power BI turns raw data into visuals, cutting analysis time by 60% for teams.
Charlotte
Data Analyst
YOLO Detection
YOLO detects objects in real time, enabling AI vision in drones and cameras.
Squibb
AI Engineer
Standard Deviation
Standard deviation measures data spread, a universal metric for variability.
Sam
Statistician
Calculus in AI
Calculus optimizes AI by finding minima, shaping models like neural networks.
Larry
Mathematician
Airflow Automation
Airflow orchestrates data workflows, running billions of tasks for analytics daily.
Tabs
Data Engineer
Reinforcement Learning
Reinforcement learning trains AI through rewards, driving innovations like self-driving cars.
Mitchell
AI Researcher
Frequently Asked Questions
How do you help us acquire data effectively?
We evaluate your existing data sources and optimize collection using tools like Excel, Python, and SQL. Our approach ensures clean, structured, and reliable data through automated pipelines, custom dashboards, API integrations, and tailored validation techniques. Additionally, our AI Agents can read and organize open data available in the public domain. We also build custom tools and dashboards to make your data more accessible and actionable.
What’s involved in visualizing our data?
We design intuitive dashboards in Google Studio, Tableau, Power BI, or Looker, transforming raw data into actionable insights. Our approach includes KPI alignment, interactive elements, and advanced visual techniques to highlight trends, outliers, and opportunities at a glance.
How can we interact with our data?
We build dynamic reports in Google Studio, Power BI or Tableau and others, enabling real-time exploration. Filter, drill down, or simulate scenarios—allowing stakeholders to engage with data directly and uncover answers independently.
How do you ensure we can retrieve data quickly?
We optimize storage and queries using modern semantic models, indexing, or cloud solutions like Snowflake. Techniques such as caching and partitioning ensure milliseconds-fast access to critical insights.
How do you assess our data strategy?
We evaluate your goals, data maturity, and gaps using frameworks like Google Studio or custom data boards. From acquisition to governance, we map a strategy that aligns with your business impact and ROI.
What does Data Engineering entail for acquisition?
We design scalable ETL/ELT pipelines to automate data ingestion from databases, APIs, and cloud platforms. This ensures seamless integration into your systems (e.g., Excel, data lakes) while maintaining accuracy and reducing manual effort.
How do Insights and Analytics use visualization?
Beyond charts, we layer statistical models and trends into custom backend, Google Studio, Tableau or Power BI dashboards. This turns complex datasets into clear narratives, helping teams spot patterns, correlations, and actionable strategies.
Can Data Visualisation improve interaction?
Yes. Our interactive custom backend, Google Studio, Power BI/Tableau reports let users filter, segment, and explore data in real time. This fosters data-driven decisions by putting exploration tools directly in stakeholders’ hands.
How do you secure data during retrieval?
We implement encryption (in transit/at rest), role-based access controls (RBAC), and audit logs via Looker or Microsoft Purview. Regular penetration testing ensures compliance with GDPR, CCPA, or industry standards.
How does Machine Learning enhance data interaction?
We integrate ML models into platforms like Google Studio, Qlik or Power BI and custom backend tools, enabling users to interact with predictions (e.g., customer churn, sales forecasts) and simulate "what-if" scenarios for proactive planning.
What do AI and Data Workshops teach about acquisition?
Our workshops train teams in practical data acquisition using Excel, Python, and Tableau. Topics include validation, transformation, and automation—equipping your staff with skills to handle real-world data challenges.
How do you assess which tools fit our data stages?
We analyze your workflow across acquisition, storage, analysis, and visualization. Based on your needs, we recommend tools like Google Studio, Power BI (visuals), Looker (modeling), or Qlik (indexing) and custom backend tool to optimize each stage.
Can you evaluate our data retrieval speed?
Yes. We audit query performance, database design, and network latency. Solutions may include GPT, AWS, Google, Azure and Qlik’s in-memory processing, indexing, or migrating to columnar databases for near-instant insights.
How do ongoing assessments improve visualization?
We periodically review dashboards to refine UI/UX, optimize load times, and incorporate new data sources. This ensures visuals remain relevant, performant, and aligned with evolving business goals.
